Profluent
Emeryville, California, United States; Hybrid (2-3 days on-site)
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.
The Role We’re seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent’s gene editing and protein design programs. You’ll work at the intersection of computational biology, software engineering, and experimental biology to build scalable systems that extract clear, actionable insights from large-scale sequencing data.
In this role, you’ll architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You’ll also mentor team members, promote software engineering best practices, and help shape the future of Profluent’s computational biology capabilities.
Responsibilities
Lead design and implementation of scalable NGS analysis pipelines supporting gene editing and protein engineering workflows
Develop clear, intuitive visualizations and reports to communicate sequencing results and biological insights
Manage cloud-based compute environments and data systems for large-scale datasets
Partner with biology teams to analyze results, troubleshoot, and optimize experimental design
Collaborate with machine learning teams to curate data for model training
Establish best practices for code review, testing, and CI/CD in computational workflows
Mentor junior scientists and foster a culture of rigor, reproducibility, and innovation
Qualifications
PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
5+ years of experience analyzing NGS datasets (e.g., amplicon sequencing, high-throughput editing, or screening experiments)
Expertise with workflow orchestration tools (Nextflow, Snakemake) and cloud environments (GCP, AWS)
Experience with containerization (Docker, Kubernetes) and scalable compute infrastructure
Deep understanding of Linux, git-based version control, and software engineering best practices
Proven ability to transform complex sequencing data into actionable biological insights
Preferences
Experience with gene editing technologies (CRISPR, base or prime editing; strongly preferred)
Familiarity with SQL and data modeling for biological or experimental data
Experience with LIMS platforms (e.g., Benchling) and lab data integration
Track record of developing production-quality scientific software or open-source bioinformatics tools
What We Offer
High-growth opportunity with meaningful impact on the future of protein design
Competitive compensation package with equity participation
Generous PTO policy and commitment to work-life balance
Professional development opportunities in a cutting-edge field at the intersection of AI and biology
Work Authorization Candidates must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided for this position.
Profluent Bio, Inc. is an equal opportunity employer committed to diversity and inclusion in the workplace.
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Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.
The Role We’re seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent’s gene editing and protein design programs. You’ll work at the intersection of computational biology, software engineering, and experimental biology to build scalable systems that extract clear, actionable insights from large-scale sequencing data.
In this role, you’ll architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You’ll also mentor team members, promote software engineering best practices, and help shape the future of Profluent’s computational biology capabilities.
Responsibilities
Lead design and implementation of scalable NGS analysis pipelines supporting gene editing and protein engineering workflows
Develop clear, intuitive visualizations and reports to communicate sequencing results and biological insights
Manage cloud-based compute environments and data systems for large-scale datasets
Partner with biology teams to analyze results, troubleshoot, and optimize experimental design
Collaborate with machine learning teams to curate data for model training
Establish best practices for code review, testing, and CI/CD in computational workflows
Mentor junior scientists and foster a culture of rigor, reproducibility, and innovation
Qualifications
PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
5+ years of experience analyzing NGS datasets (e.g., amplicon sequencing, high-throughput editing, or screening experiments)
Expertise with workflow orchestration tools (Nextflow, Snakemake) and cloud environments (GCP, AWS)
Experience with containerization (Docker, Kubernetes) and scalable compute infrastructure
Deep understanding of Linux, git-based version control, and software engineering best practices
Proven ability to transform complex sequencing data into actionable biological insights
Preferences
Experience with gene editing technologies (CRISPR, base or prime editing; strongly preferred)
Familiarity with SQL and data modeling for biological or experimental data
Experience with LIMS platforms (e.g., Benchling) and lab data integration
Track record of developing production-quality scientific software or open-source bioinformatics tools
What We Offer
High-growth opportunity with meaningful impact on the future of protein design
Competitive compensation package with equity participation
Generous PTO policy and commitment to work-life balance
Professional development opportunities in a cutting-edge field at the intersection of AI and biology
Work Authorization Candidates must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided for this position.
Profluent Bio, Inc. is an equal opportunity employer committed to diversity and inclusion in the workplace.
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